Global Database on Nominal Rate of Assistance (NRA) 2023

The Consortium's Nominal Rate of Assistance (NRA) dataset contains a set of measures of the incentives that affect producers' decision making in agricultural sector. These measures are categorized by their potential economic impacts, with market price support distinguished from payments based on out...

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Detalles Bibliográficos
Autor principal: AgIncentives Consortium
Formato: Conjunto de datos
Lenguaje:Inglés
Publicado: International Food Policy Research Institute 2023
Materias:
Acceso en línea:https://hdl.handle.net/10568/177013
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author AgIncentives Consortium
author_browse AgIncentives Consortium
author_facet AgIncentives Consortium
author_sort AgIncentives Consortium
collection Repository of Agricultural Research Outputs (CGSpace)
description The Consortium's Nominal Rate of Assistance (NRA) dataset contains a set of measures of the incentives that affect producers' decision making in agricultural sector. These measures are categorized by their potential economic impacts, with market price support distinguished from payments based on output; payments based on inputs; and payments based on other indicators, such as factors of production, current or past area or livestock numbers. The NRA dataset thus provides a more complete picture of the extent of producer support to the agricultural sector, compared to Nominal Rate of Protection (NRP) that includes only the Market Price Support (MPS) dimension. These measures are provided in detail for individual commodities, and as aggregates at regional and global level.
format Conjunto de datos
id CGSpace177013
institution CGIAR Consortium
language Inglés
publishDate 2023
publishDateRange 2023
publishDateSort 2023
publisher International Food Policy Research Institute
publisherStr International Food Policy Research Institute
record_format dspace
spelling CGSpace1770132025-12-08T10:06:44Z Global Database on Nominal Rate of Assistance (NRA) 2023 AgIncentives Consortium incentives agriculture food systems agricultural policies market prices commodity markets subsidies The Consortium's Nominal Rate of Assistance (NRA) dataset contains a set of measures of the incentives that affect producers' decision making in agricultural sector. These measures are categorized by their potential economic impacts, with market price support distinguished from payments based on output; payments based on inputs; and payments based on other indicators, such as factors of production, current or past area or livestock numbers. The NRA dataset thus provides a more complete picture of the extent of producer support to the agricultural sector, compared to Nominal Rate of Protection (NRP) that includes only the Market Price Support (MPS) dimension. These measures are provided in detail for individual commodities, and as aggregates at regional and global level. 2023-06-08 2025-10-10T18:45:05Z 2025-10-10T18:45:05Z Dataset https://hdl.handle.net/10568/177013 en https://doi.org/10.2499/p15738coll2.136729 https://doi.org/10.2499/p15738coll2.136783 Open Access International Food Policy Research Institute AgIncentives Consortium. 2025. Global Database on Nominal Rate of Assistance (NRA) 2023. Washington, DC: IFPRI [dataset]. https://doi.org/10.7910/DVN/HSZMW0. Harvard Dataverse. Version 1.
spellingShingle incentives
agriculture
food systems
agricultural policies
market prices
commodity markets
subsidies
AgIncentives Consortium
Global Database on Nominal Rate of Assistance (NRA) 2023
title Global Database on Nominal Rate of Assistance (NRA) 2023
title_full Global Database on Nominal Rate of Assistance (NRA) 2023
title_fullStr Global Database on Nominal Rate of Assistance (NRA) 2023
title_full_unstemmed Global Database on Nominal Rate of Assistance (NRA) 2023
title_short Global Database on Nominal Rate of Assistance (NRA) 2023
title_sort global database on nominal rate of assistance nra 2023
topic incentives
agriculture
food systems
agricultural policies
market prices
commodity markets
subsidies
url https://hdl.handle.net/10568/177013
work_keys_str_mv AT agincentivesconsortium globaldatabaseonnominalrateofassistancenra2023